Direct-Manipulation Visualization of Deep Networks
August 12, 2017 ยท Declared Dead ยท ๐ arXiv.org
"No code URL or promise found in abstract"
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Authors
Daniel Smilkov, Shan Carter, D. Sculley, Fernanda B. Viรฉgas, Martin Wattenberg
arXiv ID
1708.03788
Category
cs.LG: Machine Learning
Cross-listed
cs.HC,
stat.ML
Citations
143
Venue
arXiv.org
Last Checked
4 months ago
Abstract
The recent successes of deep learning have led to a wave of interest from non-experts. Gaining an understanding of this technology, however, is difficult. While the theory is important, it is also helpful for novices to develop an intuitive feel for the effect of different hyperparameters and structural variations. We describe TensorFlow Playground, an interactive, open sourced visualization that allows users to experiment via direct manipulation rather than coding, enabling them to quickly build an intuition about neural nets.
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